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##############################################################################
# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/llnl/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
import os
from spack.pkg.builtin.intel import IntelInstaller
class IntelMkl(IntelInstaller):
"""Intel Math Kernel Library."""
homepage = "https://software.intel.com/en-us/intel-mkl"
version('2017.3.196', '4a2eb4bee789391d9c07d7c348a80702',
url="http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/11544/l_mkl_2017.3.196.tgz")
version('2017.2.174', 'ef39a12dcbffe5f4a0ef141b8759208c',
url="http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/11306/l_mkl_2017.2.174.tgz")
version('2017.1.132', '7911c0f777c4cb04225bf4518088939e',
url="http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/11024/l_mkl_2017.1.132.tgz")
version('2017.0.098', '3cdcb739ab5ab1e047eb130b9ffdd8d0',
url="http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/9662/l_mkl_2017.0.098.tgz")
version('11.3.3.210', 'f72546df27f5ebb0941b5d21fd804e34',
url="http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/9068/l_mkl_11.3.3.210.tgz")
version('11.3.2.181', '536dbd82896d6facc16de8f961d17d65',
url="http://registrationcenter-download.intel.com/akdlm/irc_nas/tec/8711/l_mkl_11.3.2.181.tgz")
variant('shared', default=True, description='Builds shared library')
variant('ilp64', default=False, description='64 bit integers')
variant('openmp', default=False, description='OpenMP multithreading layer')
# virtual dependency
provides('blas')
provides('lapack')
provides('scalapack')
provides('mkl')
@property
def blas_libs(self):
spec = self.spec
prefix = self.prefix
shared = '+shared' in spec
if '+ilp64' in spec:
mkl_integer = ['libmkl_intel_ilp64']
else:
mkl_integer = ['libmkl_intel_lp64']
mkl_threading = ['libmkl_sequential']
if '+openmp' in spec:
if '%intel' in spec:
mkl_threading = ['libmkl_intel_thread', 'libiomp5']
else:
mkl_threading = ['libmkl_gnu_thread']
# TODO: TBB threading: ['libmkl_tbb_thread', 'libtbb', 'libstdc++']
mkl_root = join_path(prefix.lib, 'intel64')
mkl_libs = find_libraries(
mkl_integer + ['libmkl_core'] + mkl_threading,
root=mkl_root,
shared=shared
)
# Intel MKL link line advisor recommends these system libraries
system_libs = find_system_libraries(
['libpthread', 'libm', 'libdl'],
shared=shared
)
return mkl_libs + system_libs
@property
def lapack_libs(self):
return self.blas_libs
@property
def scalapack_libs(self):
libnames = ['libmkl_scalapack']
# Intel MKL does not directly depend on mpi but the scalapack
# interface does and the corresponding BLACS library changes
# depending on the MPI implementation we are using. We need then to
# inspect the root package which asked for Scalapack and check which
# MPI it depends on.
root = self.spec.root
if '^openmpi' in root:
libnames.append('libmkl_blacs_openmpi')
elif '^mpich@1' in root:
libnames.append('libmkl_blacs')
elif '^mpich@2:' in root:
libnames.append('libmkl_blacs_intelmpi')
elif '^mvapich2' in root:
libnames.append('libmkl_blacs_intelmpi')
elif '^mpt' in root:
libnames.append('libmkl_blacs_sgimpt')
elif '^intel-mpi' in root:
libnames.append('libmkl_blacs_intelmpi')
else:
raise InstallError("No MPI found for scalapack")
shared = True if '+shared' in self.spec else False
integer = 'ilp64' if '+ilp64' in self.spec else 'lp64'
libs = find_libraries(
['{0}_{1}'.format(l, integer) for l in libnames],
root=join_path(self.prefix.lib, 'intel64'),
shared=shared
)
return libs
def install(self, spec, prefix):
self.intel_prefix = os.path.join(prefix, "pkg")
IntelInstaller.install(self, spec, prefix)
mkl_dir = os.path.join(self.intel_prefix, "mkl")
for f in os.listdir(mkl_dir):
os.symlink(os.path.join(mkl_dir, f), os.path.join(self.prefix, f))
def setup_dependent_environment(self, spack_env, run_env, dependent_spec):
# set up MKLROOT for everyone using MKL package
spack_env.set('MKLROOT', self.prefix)
def setup_environment(self, spack_env, run_env):
run_env.set('MKLROOT', self.prefix)
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